VS01701 - Database & Data Platform Engineer

E4 Software Services Pvt Ltd.; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

E4 Software Services Pvt Ltd. is seeking an experienced Database Engineer to administer and support enterprise data platforms across cloud environments.

You will design HA/DR solutions, performance tune, automate DBA tasks using scripting and IaC, and collaborate with engineering teams on architecture and data processing. 5+ years of experience required; SQL Server or SAP HANA expertise is preferred.

Qualifications

• 5+ years in Database Engineering, DBA, Data Platform Engineering or Database DevOps.
• Experience with Microsoft SQL Server or SAP HANA.
• Experience with database performance tuning and monitoring.
• Strong knowledge of backup, recovery, HA and DR.
• Experience with AWS, Azure or GCP.
• Strong SQL knowledge.
• Experience with Linux/Windows administration depending on the database platform.
• Experience with Python, PowerShell, Bash or Shell scripting.
• Knowledge of automation/IaC using Terraform, Ansible or CloudFormation.
• Experience in production database support and incident management.

Responsibilities

• Administer and support enterprise database and data platforms.
• Perform database installation, configuration, upgrades, patching and performance tuning.
• Design and maintain high availability and disaster recovery solutions.
• Manage backup, recovery, capacity and database lifecycle activities.
• Support database migration and modernization initiatives across cloud environments.
• Automate database administration and operational activities using scripting and IaC tools.
• Monitor database health, performance and availability.
• Troubleshoot database incidents and perform root cause analysis.
• Support containerized and cloud-native database environments.
• Work with engineering teams on database architecture and platform optimization.
• Support data ingestion, ETL/ELT and scalable data processing requirements where applicable.
• Maintain operational documentation and database runbooks.

Skills

Database Eng/DBA

SQL proficiency

Cloud platforms

Scripting

IaC tools

Linux/Windows admin

Tools

Terraform

Ansible

CloudFormation

Job description

• Administer and support enterprise database and data platforms.
• Perform database installation, configuration, upgrades, patching and performance tuning.
• Design and maintain high availability and disaster recovery solutions.
• Manage backup, recovery, capacity and database lifecycle activities.
• Support database migration and modernization initiatives across cloud environments.
• Automate database administration and operational activities using scripting and IaC tools.
• Monitor database health, performance and availability.
• Troubleshoot database incidents and perform root cause analysis.
• Support containerized and cloud-native database environments.
• Work with engineering teams on database architecture and platform optimization.
• Support data ingestion, ETL/ELT and scalable data processing requirements where applicable.
• Maintain operational documentation and database runbooks.

Mandatory Skills

• 5+ years of experience in Database Engineering, DBA, Data Platform Engineering or Database DevOps.
• Strong experience with at least one enterprise database platform such as Microsoft SQL Server or SAP HANA .
• Experience with database performance tuning and monitoring.
• Strong knowledge of backup, recovery, HA and DR.
• Experience with AWS, Azure or GCP.
• Strong SQL knowledge.
• Experience with Linux/Windows administration depending on the database platform.
• Experience with Python, PowerShell, Bash or Shell scripting.
• Knowledge of automation/IaC using Terraform, Ansible or CloudFormation.
• Experience in production database support and incident management.

Good-to-have Skills

• Databricks and modern data engineering platforms.
• Hadoop/Cloudera, HBase or Hive.
• SQL Server Always On.
• SAP HANA Cloud.
• Kubernetes and containerized databases.
• AWS EBS, S3, EC2 or EKS.
• CloudFormation or ARM templates.
• Data pipeline development, ETL/ELT and data modeling.